##
## Call:
## lm(formula = LacData ~ EPHX1 + TKT + GPX2 + JUN + CYP2B6 + GSTA1 +
## GSTA2, data = mlm.data)
##
## Residuals:
## FV2 LV2 LV3 FV3 LV1 FN1 FN2
## -1.7772858 -0.4726029 -0.6974732 -0.3509557 2.7526045 0.8175029 -0.3654356
## LN1 FN3 LN3
## -0.0006994 -0.0181005 0.1124458
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -4.1919727 2.8772531 -1.457 0.282
## EPHX1 0.0007600 0.0016188 0.469 0.685
## TKT 0.0245085 0.0283383 0.865 0.478
## GPX2 -0.0013174 0.0018790 -0.701 0.556
## JUN 0.0082264 0.0293291 0.280 0.805
## CYP2B6 -0.0004416 0.0004110 -1.074 0.395
## GSTA1 -0.0001505 0.0001989 -0.757 0.528
## GSTA2 0.0013193 0.0010763 1.226 0.345
##
## Residual standard error: 2.488 on 2 degrees of freedom
## Multiple R-squared: 0.9761, Adjusted R-squared: 0.8926
## F-statistic: 11.68 on 7 and 2 DF, p-value: 0.0811
##
## Call:
## lm(formula = all.LacData ~ EPHX1 + TKT + GPX2 + JUN + CYP2B6 +
## GSTA1 + GSTA2, data = mlm.data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.4583 -2.4911 -0.7999 1.5243 9.4388
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.080e+00 3.165e+00 -0.341 0.7406
## EPHX1 -1.944e-03 1.240e-03 -1.568 0.1513
## TKT 3.048e-02 1.193e-02 2.555 0.0309 *
## GPX2 -2.012e-05 1.240e-03 -0.016 0.9874
## JUN 9.958e-04 3.370e-03 0.295 0.7743
## CYP2B6 7.556e-05 3.593e-04 0.210 0.8381
## GSTA1 1.466e-04 2.032e-04 0.721 0.4890
## GSTA2 1.223e-03 7.761e-04 1.576 0.1496
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.661 on 9 degrees of freedom
## Multiple R-squared: 0.7791, Adjusted R-squared: 0.6073
## F-statistic: 4.535 on 7 and 9 DF, p-value: 0.01976